Computational Ecology MSc

Computational Ecology MSc gives you knowledge and skills to work with ecological ‘big data’. It focuses on mathematical and statistical theory necessary for data interpretation and analysis. The course addresses the shortage of ecological scientists with data modelling skills. This course addresses the severe shortage of scientists trained to a high standard in both data modelling and ecology. Ecological and environmental scientists now generate large amounts of observational data. The data could be from: camera traps; GPS records; epidemiology; eDNA samples. Due to the unique combination of ecology and big data, the course is suitable for: ecologists involved in scientific research; graduates in mathematics or computing. As an interdisciplinary course, some modules are unique whilst others are shared with other courses. This ensures that you will gain: detailed technical skills needed by future employers; understanding of the broader ecological context of data collection. You will gain hands-on experience of using modern computing and modelling methods. This will develop your essential technical skills, which are in demand by employers. Through taught modules and a research project, you will also enhance broader abilities such as: a critical review of scientific literature; ethics; advance planning. Statistical methods, modelling and technical skills are developed in the taught component.